Evidence map›Paper›PMID 34616984›Full record

ArticleAEM education and training2021

Developing an electronic health record-derived health equity dashboard to improve learner access to data and metrics.

Ryan E Tsuchida, Adrianne N Haggins, Marcia Perry, Chiu-Mei Chen, Richard P Medlin, William J Meurer, John Burkhardt, Christopher M Fung

Abstract read
In one paragraph

Article in AEM education and training, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Reduced left-without-being-seen rates and impact on disparities after guest services ambassadors implementation.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Observational
  4. Article
  5. Article
  6. Review
  7. Review
  8. Designing and developing a digital equity dashboard for the emergency department.Journal of the American College of Emergency Physicians open · 2023
    Article
  9. Article
  10. Observational
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ryan E TsuchidaDepartment of Emergency Medicine University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0002-3180-2052
Adrianne N HagginsDepartment of Emergency Medicine University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0003-4030-2815
Marcia PerryDepartment of Emergency Medicine University of Michigan Ann Arbor Michigan USA.
Chiu-Mei ChenDepartment of Emergency Medicine University of Michigan Ann Arbor Michigan USA.
Richard P MedlinDepartment of Emergency Medicine University of Michigan Ann Arbor Michigan USA.
William J MeurerDepartment of Emergency Medicine University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0002-1158-5302
John BurkhardtDepartment of Emergency Medicine University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0001-6273-8762
Christopher M FungDepartment of Emergency Medicine University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0003-3585-1385

Funding

K12: Career Development in Emergency Critical Care ResearchK12HL133304 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEUMAR, ROBERT W., PINSKY, DAVID J. · 2016 to 2020
$2.2M
Novel Cilia Trafficking MechanismsR01DK084725 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARGOLIS, BENJAMIN L · 2009 to 2010
$702k
NHLBI NIH HHS K12 HL133304NIDDK NIH HHS R01 DK084725
6 · The paper itself

Abstract

objectivesIt is essential to engage learners in efforts aimed at dismantling racism and other contributors to health care disparities. Barriers to their involvement include limited access to data. The objective of our study was to create a data dashboard using an existing quality improvement (QI) infrastructure and provide resident access to data to facilitate exploratory analysis on disparities in emergency department (ED) patient care.

methodsFocusing on patient populations that have previously been shown in the literature to suffer significant disparities in the ED, we extracted outcomes across a variety of metrics already collected as part of routine ED operations. Using data visualization software, we developed an interactive dashboard for visual exploratory analyses.

resultsWe designed a dashboard for our resident learners with views that are flexible and allow user selected filters to view clinical outcomes by patient age, treatment area, and chief complaint. Learners were also allowed to select grouping and outcomes of interest to investigate questions and form new hypotheses of their choosing. Available dashboard views included summary counts view to assess ED visits over time by selectable group, a rooming and triage acuity view, time-to-event survival curve view, histogram and box plot views for continuous variables, a view to assess outcome variables by time of day of ED arrival, customizable contingency table views, and correspondence analysis.

conclusionsUtilizing an existing QI infrastructure, we developed a dashboard that provides a new perspective into commonly collected ED operations data to allow for the exploration of disparities in ED care that is accessible to learners. Future directions include using these data to refine hypotheses on ED disparities, understand root causes, develop interventions, and measure their impact.

Indexed as

antiracismdashboardEHRhealth equityquality improvementvisualization

Identifiers

PMID34616984
PMCPMC8480500

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.